DOI: 10.1002/2016GL070776
论文题名: Estimation of cloud fraction profile in shallow convection using a scanning cloud radar
作者: Oue M. ; Kollias P. ; North K.W. ; Tatarevic A. ; Endo S. ; Vogelmann A.M. ; Gustafson W.I. ; Jr.
刊名: Geophysical Research Letters
ISSN: 0094-8461
EISSN: 1944-8192
出版年: 2016
卷: 43, 期: 20 起始页码: 10998
结束页码: 11006
语种: 英语
英文关键词: cloud fraction
; cross-wind RHI
; radar
; shallow convection
Scopus关键词: Clouds
; Estimation
; Large eddy simulation
; Radar simulators
; Sampling
; Cloud fraction
; Cross wind
; Objective methods
; Radar sensitivity
; Shallow convection
; Shallow cumulus clouds
; Spatial heterogeneity
; Strong dependences
; Radar
英文摘要: Large spatial heterogeneities in shallow convection result in uncertainties in estimations of domain-averaged cloud fraction profiles (CFP). This issue is addressed by using large eddy simulations of shallow convection over land coupled with a radar simulator. Results indicate that zenith profiling observations are inadequate to provide reliable CFP estimates. Use of scanning cloud radar (SCR), performing a sequence of cross-wind horizon-to-horizon scans, is not straightforward due to the strong dependence of radar sensitivity to target distance. An objective method for estimating domain-averaged CFP is proposed that uses observed statistics of SCR hydrometeor detection with height to estimate optimum sampling regions. This method shows good agreement with the model CFP. Results indicate that CFP estimates require more than 35 min of SCR scans to converge on the model domain average. The proposed technique is expected to improve our ability to compare model output with cloud radar observations in shallow cumulus cloud conditions. ©2016. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991636681&doi=10.1002%2f2016GL070776&partnerID=40&md5=f9aa8ecfa0144602f1bc2b597b86cfcf
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/9424
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, United States
Recommended Citation:
Oue M.,Kollias P.,North K.W.,et al. Estimation of cloud fraction profile in shallow convection using a scanning cloud radar[J]. Geophysical Research Letters,2016-01-01,43(20).